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01.02.2015 | Technical Contribution

What We Can Learn From the Primate’s Visual System

verfasst von: Norbert Krüger, Michael Zillich, Peter Janssen, Anders Glent Buch

Erschienen in: KI - Künstliche Intelligenz | Ausgabe 1/2015

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Abstract

In this review, we discuss the impact (or lack thereof) biologically motivated vision has had on computer vision in the last decades. We then summarize a number of computer vision and robotic problems for which biological models can give indications for how these can be addressed. Then we summarize important findings about the primate’s visual system and draw a number of conclusions for the development of algorithms from these findings.

Vorheriger Artikel Special Issue on Bio-inspired Vision Systems

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The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society - with constributions from troughout the field of artificial intelligence.

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Actually it has mostly been the macaque’s visual system that is the basis for neuro-physiological investigations which however shows a large degree of similarity to the human visual system.

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The receptive field associated to a neuron is the part of the visual field that directly influences the response of the neuron.

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Titel: What We Can Learn From the Primate’s Visual System
verfasst von: Norbert Krüger
Michael Zillich
Peter Janssen
Anders Glent Buch
Publikationsdatum: 01.02.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: KI - Künstliche Intelligenz / Ausgabe 1/2015
Print ISSN: 0933-1875
Elektronische ISSN: 1610-1987
DOI: https://doi.org/10.1007/s13218-014-0345-9

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